Jun Chu

70 papers and 1.0k indexed citations i.

About

Jun Chu is a scholar working on Computer Vision and Pattern Recognition, Biomaterials and Materials Chemistry. According to data from OpenAlex, Jun Chu has authored 70 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 15 papers in Biomaterials and 13 papers in Materials Chemistry. Recurrent topics in Jun Chu’s work include Magnesium Alloys for Biomedical Applications (15 papers), Video Surveillance and Tracking Methods (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Jun Chu is often cited by papers focused on Magnesium Alloys for Biomedical Applications (15 papers), Video Surveillance and Tracking Methods (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Jun Chu collaborates with scholars based in China, Japan and South Korea. Jun Chu's co-authors include Libo Tong, Jun Miao, Lu Leng, Lu Leng, S. Kamado, Yiqing Zhang, Zhonghao Jiang, De Ning Zou, M.Y. Zheng and Hongjie Zhang and has published in prestigious journals such as Neuron, Scientific Reports and Carbon.

In The Last Decade

Co-authorship network of co-authors of Jun Chu i

Fields of papers citing papers by Jun Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Chu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Chu. The network helps show where Jun Chu may publish in the future.

Countries citing papers authored by Jun Chu

Since Specialization
Citations

This map shows the geographic impact of Jun Chu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Chu more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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